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Low Computational-Cost Footprint Deformities Diagnosis Sensor through Angles, Dimensions Analysis and Image

J Rodolfo Maestre-Rendon1,2, Tomas A Rivera-Roman3, Juan M Sierra-Hernandez4

  • 1Unidad Académica de Ingeniería Biomédica, Universidad Politécnica de Sinaloa, Carretera Municipal Libre Mazatlán Higueras km 3, Col. Genaro Estrada, Mazatlán Sin. 82199, Mexico. jmaestre@upsin.edu.mx.

Sensors (Basel, Switzerland)
|November 23, 2017
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Summary
This summary is machine-generated.

This study introduces a smart sensor for quantitative foot deformity diagnosis, improving accuracy over subjective manual measurements. The device offers precise, sensitive, and robust analysis for better patient treatment.

Keywords:
Clarke’s angleSmirak-Chippaux indexStaheli arch indexbiomedical image processingembedded systemfootprint measurements

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Area of Science:

  • Biomechanics
  • Medical Imaging
  • Sensor Technology

Background:

  • Manual foot anthropometry is subjective and prone to errors, impacting diagnostic accuracy.
  • Current foot deformity diagnosis often relies on qualitative physician interpretation, lacking quantitative data.
  • Accurate diagnosis is crucial for effective patient treatment and preventing health risks.

Purpose of the Study:

  • To present a smart sensor for quantitative foot analysis.
  • To integrate footprint capture, low-cost image analysis, and quantitative interpretation.
  • To improve the accuracy and objectivity of foot deformity diagnosis.

Main Methods:

  • A smart sensor system was developed using a Logitech C920 camera and Raspberry Pi 3.
  • A graphical interface was created for image capture and processing.
  • The system was adapted to a conventional podoscope for clinical use.

Main Results:

  • The Footprint Diagnosis Smart Sensor (FPDSS) demonstrated robustness across various foot deformities.
  • The system proved to be precise and sensitive in its measurements.
  • FPDSS results showed a 0.99 correlation with digitalized ink mat measurements.

Conclusions:

  • The developed smart sensor provides a quantitative and accurate method for foot deformity assessment.
  • This technology enhances diagnostic reliability compared to traditional subjective methods.
  • The FPDSS offers a valuable tool for orthopedists, physiotherapists, and podiatrists for improved patient care.